Lack of affordable, reliable access to the Internet in remote, rural, and Indigenous communities in Canada and internationally has led to a digital divide affecting billions. Left has developed its RightMesh technology, which lets nearby mobile devices connect without the Internet. Normally data flows from a phone, through Internet Service Providers (Telus, Shaw), to the cloud (Google, Amazon), and back to reach another person, despite being nearby. With the RightMesh network, data can flow from phone to phone to phone until it reaches the intended person.
Radio frequency integrated circuit power amplifiers (RFIC PAs) operating at microwave frequencies (e.g. 5 to 6 GHz) and at millimeter-wave (mm-wave) frequencies (e.g. 60 GHz) are electronic components used in the front-end modules (close to the antenna) of mobile communication equipment such as cellular handsets. Envelope detectors constitute a critical component in a newly proposed dynamic biasing technique for RFIC PAs based on positive envelope feedback, for power efficiency improvement and distortion reduction.
Image denoising is a fundamental process in most of computer vision systems, imaging systems, and photography productions. Recently, with the power of deep neural networks, image denoising has been pushed towards new boundaries. However, neural network image denoisers are constrained by the accuracy of the noise model used to train them. Training on a poor noise model results in poor generalization performance on real-world images.
The appearance of polished gold and silver has always been attractive to the human eye. The high reflectivity of these surfaces naturally makes them strong candidates for optical designs that are based purely on reflective optics. When circular grooves are scribed into metal surfaces, some very interesting optical effects can be observed, and in some cases light beams will appear to come out of the surface. Other light beams will appear to go into the surface. Through clever design and orientation of these scribed regions, the appearance of interesting optical effects can be generated.
Mindfulness meditation has recently received considerable interest in clinical and in broader contexts for its mental health and cognitive benefits. It has been proposed that giving people feedback about their meditation relevant brain activity during or after meditation can help people learn this difficult skill, and initial work looks promising, but there are a number of unanswered questions. Additionally, it may be difficult for older adults to learn it due to age-related cognitive changes.
Bioinformatics is at the intersection of computer science, mathematics and biology. With the advent of new technologies, more and more genomic data is being generated. A common task for analysing such data is to visualize it in an interactive way that highlights the results of computational analyses. In the past 5 years, Web browsers have become very fast at data visualization, creating more opportunities to share bioinformatics results on the Web.
In this project we address the problem of power consumption for wireless sensor nodes. This is where among different components of a sensor, RF transceivers consume a significant amount of power e.g. approximately 80%. Hence the main objective is this project is to tackle the power consumption problem at the RF transmitter, where we aim to reduce the power consumption to micro-watts of power, with minimal sacrifice in achievable data rate and by keeping the connectivity range within an acceptable radius.
Postmates has a successful software business in numerous cities in the short-distance package delivery business, matching the vendor (for example, a restaurant, shop or other retail business) with the recipient of a package (for example, groceries, a hot meal, or an envelope), and then contracting with individual couriers (in cars, bikes or on foot) in urban areas to make the deliveries. Postmates would like to extend this software business to include stroller-sized package delivery robotic rovers that would drive on sidewalks at pedestrian speeds to automatically get and deliver packages.
Machine learning approaches are transforming fields such as finance, healthcare, electronic commerce, social networks, and natural disaster forecasting. We propose collaborative research that develops novel methods and applications of machine learning techniques for event prediction, modeling relations between entities, and inference techniques that can impact these domains. In the context of event prediction, we will develop methods based on the point process framework.
The proposed solution will address the aforementioned challenges by attempting to provide scalable authentication and encryption mechanisms. A combination of software and hardware based approaches can be used to provide enhanced security to constrained IoT nodes with respect to their timing and power demands. Technologies such as Bluetooth or 802.11ax mesh networking could be critical to smart city implementations, and will be investigated. We are proposing a smart city friendly complete proof-of-concept implementation.